Researchers from the labs of Professors Vinayak Dravid and Omar Farha developed a high-resolution approach to map ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...

When scientists study how materials behave under extreme conditions, they typically examine what happens under compression. But what occurs when you pull matter apart in all directions simultaneously?

Materials discovery leader launches Crystal Structure Prediction solution, with Honda as early adopter.

“Crystal Math” uses equations—and minimal resources—to rapidly predict the 3D structures of molecular crystals, which could speed up R&D for drugs and electronic devices Researchers at New York ...

Mid- and far-infrared birefringent crystals are key functional materials for polarization control, laser technologies, and ...

Rare-earth magnets are essential for electric motors in vehicles, drones, and trains, forming the backbone of modern, ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and computer-generated crystals. The issue raises questions about curation practices at ...